Monitoring methotrexate‐induced hepatic fibrosis in patients with psoriasis: are serial liver biopsies justified?
Bibliographic record
Abstract
BACKGROUND: Reports that up to 26% of subjects with psoriasis develop cirrhosis have led to a recommendation of serial liver biopsies after each cumulative dose of 1500 mg of methotrexate. AIM: To evaluate the progression of liver injury in patients with psoriasis and the impact of monitoring by liver biopsy on their management. METHODS: One hundred and twenty-one liver biopsies from 66 subjects (aged 11-79 years) with psoriasis, receiving a median cumulative dose of 3206 mg of methotrexate over a period of 280.5 weeks, were evaluated. RESULTS: The assessment of advanced fibrosis according to the Ishak system (>or= 4) correlated perfectly with that of the Scheuer system (>or= 3) and poorly with that of the Roenigk scale (>or= 3b) (r2 = 1.0 and 0.31, respectively). Two of 24 pre-treatment biopsies showed advanced fibrosis and both subjects were heavy drinkers. The cumulative probabilities of advanced fibrosis (Ishak >or= 4) were 0%, 2.6%, 2.6%, 8.2% and 8.2% at cumulative doses of 1500, 3000, 4500, 5000 and 6000 mg, respectively. None of the subjects developed cirrhosis during follow-up or discontinued therapy on the basis of liver biopsy findings. CONCLUSIONS: Advanced hepatic fibrosis with low-dose methotrexate therapy is much less frequent than previously reported. Pre-treatment or monitoring liver biopsies in accordance with the current guidelines have little impact on patient management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".